Continuous-time approaches to system indentification—a survey
Automatica (Journal of IFAC) - Identification and system parameter estimation
Control Systems Engineering
Control Theory of Nonlinear Mechanical Systems
Control Theory of Nonlinear Mechanical Systems
Iterative Learning Control: Convergence, Robustness and Applications
Iterative Learning Control: Convergence, Robustness and Applications
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
Identification of Continuous-Time Systems: Methodology and Computer Implementation
Identification of Continuous-Time Systems: Methodology and Computer Implementation
Adaptive Control Design and Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Brief Robust adaptive compensation of biased sinusoidal disturbances with unknown frequency
Automatica (Journal of IFAC)
Brief An iterative learning control algorithm within prescribed input-output subspace
Automatica (Journal of IFAC)
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This article presents an identification method based on an iterative learning control (ILC) for a class of linear MIMO (multi-input, multi-output) continuous-time systems with unknown but fixed input disturbances. For this purpose, a formula of a specific type of ILC which updates the input in an appropriate parameter space is extended to the case of MIMO systems with fixed disturbances. Then a concrete procedure to construct such an ILC is given to apply the ILC to the continuous-time system identification. Finally, numerical examples demonstrate how the parameter estimation can be achieved through the proposed ILC method in the presence of heavy measurement noises.